Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
Robustness and accuracy are major issues in real-time tracking. This paper describes a reliable tracking for markerless planar objects based on the fusion of visual cues and on th...
We introduce the concept of neutral emergence (defined by analogy to an information theoretic view of neutral evolution), and discuss how it might be used in the engineering of ro...
Abstract. Users need know nothing of the internals of distributed applications that are performing well. However, when performance flags or fails, a depiction of system behavior f...